sagemaker deploy model - estimator

sagemaker_create.py

sess = sagemaker.session.Session()
anomaly_detection = sagemaker.estimator.Estimator(image_name=docker_image_name,
                                    role=role,
                                    train_instance_count=1, 
                                    train_instance_type='ml.m4.xlarge',
                                    output_path='s3://{}/{}/output'.format(bucket, prefix),
                                    base_job_name="anomaly-detection",
                                    sagemaker_session=sess)